Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …

Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …

The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …

From a technical perspective, for electronic medical records (EMR), this paper proposes an
effective confidential management solution on the cloud, whose basic idea is to deploy a …

Explainable artificial intelligence is an emerging research direction helping the user or
developer of machine learning models understand why models behave the way they do …

Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …

This systematic review provides researchers interested in feature selection (FS) for
processing microarray data with comprehensive information about the main research …

Multiclass classification of brain tumors is an important area of research in the field of
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …

Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …

Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …